• Full-time

Publication date： 2025.04.28

Company name not disclosed

[AgriTech, Satellite x AI] Senior Data Scientist (13261)

  • R&D / Engineer /Technician (AI, Data)
  • Tokyo
  • Salary： ¥4M - ¥9M
【アグリテック, 衛生データ x AI】シニアデータサイエンティスト (13261)
職種Position R&D / Engineer /Technician (AI, Data)
会社概要Company profile This is an AgriTech startup aiming to solve agricultural and environmental challenges by combining satellite data (SATELLITE), machine learning (AI), and land parceling technology (GRID).

By providing innovative solutions that support the efficient management and utilization of farmland, they strive to enhance agricultural productivity and improve the quality of life for farmers not only in Japan but around the world. At the same time, they are also addressing global issues such as food security and climate change.

Currently, they have local subsidiaries in India and Singapore, and they are expanding their business into emerging markets across diverse regions, including Thailand, India, and Kenya.
仕事内容Job description This company is seeking a Senior Data Scientist to lead the development of the machine learning components for our innovative MRV (Monitoring, Reporting, and Verification) and decarbonization platform within our Engineering department.
This role is critical to integrating advanced AI, satellite remote sensing, and comprehensive carbon footprint tracking to deliver holistic solutions for agribusinesses, government agencies, and farmers.

[About the Project]
- Develop an AI-driven system to visualize and manage Scope 3 Category 1 emissions for large agribusiness corporations.
- Create machine learning models for crop classification, yield estimation, and soil health analysis using satellite data.
- Implement advanced analytics and machine learning models for forecasting carbon/greenhouse gas emissions and recommending reduction strategies.
- Integrate data from diverse sources, including satellite imagery, IoT devices, on-site soil testing facilities, and climate data repositories.

[Specific Responsibilities]
- Lead research, development, and implementation of machine learning systems for the MRV platform.
- Identify and implement the most effective algorithms, continuously refining models to achieve peak performance.
- Evaluate and analyze model performance, enhancing functionalities as needed.
- Integrate machine learning models into production environments.
- Work on complex data processing pipelines involving satellite imagery and IoT data.
- Collaborate with cross-functional teams to align ML development with user needs and regulatory requirements.
- Mentor junior team members and contribute to the growth of the machine learning team.

[Tech Environment]
Languages: Python, TypeScript
Machine Learning: TensorFlow, Keras, PyTorch
Models: CNN, LSTM, Transformers, Vision Transformers
Cloud: AWS (EC2, EKS, S3, SageMaker, etc.)
Version Control: Git, GitHub
Project Management: JIRA
Communication Tools: Slack, Notion

[Why They Want You to Join]
At the company, you will have a unique opportunity to shape the future of agriculture and contribute to the fight against climate change.
You will stand at the forefront of developing cutting-edge solutions that directly impact sustainability and food security.

[What they offer]
- A dynamic and collaborative work environment
- A competitive compensation package
- Opportunities for career growth within a rapidly expanding startup
- Exposure to cutting-edge technologies such as AI, remote sensing, and data analytics
- Collaboration with a diverse, talented, and mission-driven team
- The satisfaction of knowing that your work drives positive change globally

They welcome applications from individuals passionate about leveraging technology to promote sustainable agriculture and combat climate change.
Join the company in their mission to create more sustainable and resilient agricultural ecosystems for generations to come.
応募資格Requirement [Requirements]
- Japanese language proficiency at N2 level or higher
- Over 5 years of professional experience as a Machine Learning Engineer or Data Scientist, including at least 2 years in a leadership or mentoring role
- Proficiency in Python and hands-on experience with cloud platforms (AWS)
- Extensive experience with machine learning frameworks and data processing technologies
- Experience in satellite imagery processing (active/passive – e.g., Sentinel-1, Sentinel-2, Landsat, MODIS) and geospatial data analysis
- Knowledge of carbon accounting principles and environmental reporting standards
- Proven experience leading cross-functional engineering activities
- Strong software engineering practices, including debugging/profiling, version control, and system design
- Excellent problem-solving skills and ability to work in a fast-paced, innovative environment

[Preferred requirements]
- Experience or understanding of satellite remote sensing, crop science, and agriculture
- Knowledge of microservices architecture and experience with database systems (RDBMS/NoSQL)
- Familiarity with monitoring systems, logging, operations, and SLO/SLA concepts
- Experience working in the AgriTech or environmental sustainability sector

[Ideal candidate Profile]
- Resonates with their vision, mission, and values
- Passionate about solving social challenges through advanced machine learning technologies
- Highly motivated to learn new skills and values team communication
- Responsive to customer feedback and capable of translating business needs into technical solutions
- Thrives in a fast-paced environment and embraces significant change
日本語力Japanese level Business
雇用形態Employment type Full-time
勤務エリアLocation Tokyo
勤務時間Working hours Flexible time system (with core time)
想定年収Salary ¥4M - ¥9M
条件・待遇Condition Employment Type: Permanent
Trial period: 3 months
Estimated annual income: ¥4M - ¥9M
Work location: Tokyo
Working hours: Flexible time system (with core time)
Starting time: 6:00 AM - 10:00 AM
Ending time: 3:00 PM - 10:00 PM
Core time: 10:00 AM - 3:00 PM
Break time: 1 hour
Holidays: 2 days a week (Saturdays and Sundays), national holidays
Vacation: Summer vacation, year-end and New Year holidays, and other vacations available
Overtime: Average month
Benefits: Complete social insurance, commuting allowance (according to company regulations), and other benefits
選考についてProcess Number of applicants: 1
Documents required for application: CV
Online interview: Available
Interview language: English(/Japanese)
Number of interviews (flow): 3 times
* May change depending on the situation of the candidate
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